Title | ||
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Extract-And-Match Geometric Corner And Step Pattern Approach For Registration Of Fluoroscopic X-Ray Sequences |
Abstract | ||
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This paper presents a method to extract-and-match robust corner features based on connecting edges from the edge maps, mainly formed by coronary vascular junctions in fluoroscopic x-ray sequence images. Such images are challenging due to the aperture problem. To overcome this, existing approaches attempt to extract vessels for registration. However, they are ineffective in poor quality images. Our approach describes the extracted robust corner features in a rotation invariant manner using step patterns, followed by matching them effectively. Experimental results show that our approach performs very well (above 80%) in a dataset of poor quality fluoroscopic x-ray image sequences without extensive processing such as segmentation or learning. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/EMBC.2017.8036888 | 2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Aperture,Edge maps,Computer vision,Computer science,Segmentation,Fluoroscopy,Invariant (mathematics),Artificial intelligence | Conference | 2017 |
ISSN | Citations | PageRank |
1094-687X | 0 | 0.34 |
References | Authors | |
14 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jimmy Addison Lee | 1 | 20 | 5.57 |
Mengdi Xu | 2 | 3 | 1.38 |
Jun Cheng | 3 | 214 | 20.65 |
Huazhu Fu | 4 | 1235 | 65.07 |
Damon Wing Kee Wong | 5 | 434 | 37.78 |
N. Foin | 6 | 1 | 1.02 |